# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Summaries utility file to share between train and eval."""

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function



import tensorflow as tf

tfgan = tf.contrib.gan


def add_reconstruction_summaries(images, reconstructions, prebinary,
                                 num_imgs_to_visualize=8):
  """Adds image summaries."""
  reshaped_img = stack_images(images, reconstructions, num_imgs_to_visualize)

  tf.summary.image('real_vs_reconstruction', reshaped_img, max_outputs=1)
  if prebinary is not None:
    tf.summary.histogram('prebinary_codes', prebinary)


def stack_images(images, reconstructions, num_imgs_to_visualize=8):
  """Stack and reshape images to see compression effects."""
  to_reshape = (tf.unstack(images)[:num_imgs_to_visualize] +
                tf.unstack(reconstructions)[:num_imgs_to_visualize])
  reshaped_img = tfgan.eval.image_reshaper(
      to_reshape, num_cols=num_imgs_to_visualize)
  return reshaped_img